khmereasytools 0.3.6

A simple, self-contained library for Khmer text processing, with optional OCR support.

Khmer Easy Tools

A simple, user-friendly, and self-contained Python library for common Khmer Natural Language Processing (NLP) tasks. This package provides easy-to-use functions for keyword extraction and segmentation without requiring complex external dependencies for its core features.

Installation

Install the base package:

pip install khmereasytools

Installing Optional OCR Feature

To use the OCR functionality, you must install the ocr extras.

pip install khmereasytools[ocr]

For OCR functionality, you must also install Google's Tesseract OCR engine on your system.

• Tesseract Installation Guide
• Make sure to install the Khmer (khm) language data.

How to Use

Khmer Character Validation (is_khmer)

import khmereasytools as ket
print(ket.is_khmer("សួស្តី"))  # True

Keyword Extraction (khfilter)

Uses a built-in segmentation algorithm to find words and remove stop words.

import khmereasytools as ket
text = "នេះគឺជាប្រាសាទអង្គរវត្តស្ថិតនៅក្នុងខេត្តសៀមរាប"
keywords = ket.khfilter(text)
print(f"Keywords: '{{keywords}}'")

Text Segmentation (khseg)

Uses a built-in segmentation algorithm to split text into words.

import khmereasytools as ket
text = "នេះគឺជាប្រាសាទអង្គរវត្ត"
words = ket.khseg(text)
print(f"Segmented Words: {words}")

Syllable Segmentation (khsyllable)

Uses a built-in rule-based method to split text into syllables.

import khmereasytools as ket
text = "សាលារៀន"
syllables = ket.khsyllable(text)
print(f"Syllables: {syllables}")

OCR from Image (khocr)

Requires ocr dependencies to be installed.

import khmereasytools as ket
# pip install khmereasytools[ocr]
# Make sure you have an image file e.g., 'khmer_text.png'
# text_from_image = ket.khocr('khmer_text.png')
# print(f"Text from OCR: {{text_from_image}}")